Top DevOps Jobs in Dublin

Provides strategic and technical leadership for a large-scale software engineering organization. Leads enterprise software, cloud-native architecture, AI-powered solutions, engineering standards, DevOps, CI/CD, and responsible AI adoption. Guides multidisciplinary engineering leaders, mentors senior technical staff, evaluates emerging technologies, and partners with product and business stakeholders to deliver scalable healthcare technology solutions.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes governance, quality, lineage, observability, and security controls; optimizes large-scale processing; and guides technical strategy. Partners across risk, product, architecture, and engineering, mentors teams, influences stakeholders, supports compliance, and drives delivery across complex initiatives.

Lead the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architect cloud-based ETL/ELT, streaming, and lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies. Establish data quality, governance, lineage, security, observability, and operational standards. Provide technical leadership, mentor engineers, influence architecture and roadmaps, optimize workloads, and collaborate across product, risk, analytics, architecture, and business teams.

Leads the design and implementation of enterprise data platforms and pipelines supporting credit risk, decisioning, analytics, regulatory reporting, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies; establishes data quality, governance, lineage, observability, and security controls; modernizes legacy systems; optimizes large-scale processing; and mentors engineers while influencing cross-functional technical strategy.

Leads the design and implementation of enterprise data platforms, ETL/ELT pipelines, lakehouse architectures, and distributed processing systems supporting credit risk and analytics. Establishes data quality, governance, lineage, security, monitoring, and operational standards while modernizing legacy assets in the cloud. Partners with product, risk, architecture, and data science teams, mentors engineers, influences technical strategy, optimizes performance and cost, supports compliance, and drives complex cross-functional initiatives.

Leads the design and implementation of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes data quality, governance, lineage, security, monitoring, and operational standards; modernizes legacy systems; optimizes large-scale processing; influences technical strategy; mentors engineers; and partners with cross-functional stakeholders to deliver resilient, compliant data products.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Builds scalable cloud-based ETL/ELT and streaming solutions using Databricks, Spark, Delta Lake, SQL, and Python. Establishes data quality, governance, lineage, security, monitoring, and operational excellence practices. Partners across risk, product, architecture, and engineering; influences technical direction, mentors engineers, supports compliance, and drives strategic roadmap execution.

Leads the design and evolution of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects cloud-based ETL/ELT, lakehouse, streaming, governance, and data quality solutions; modernizes legacy assets; optimizes processing; and establishes engineering standards, testing, deployment, and operational practices. Partners across risk, product, architecture, and engineering, influences technical direction, mentors engineers, supports compliance, and drives strategic roadmap execution.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and related technologies; establishes governance, quality, lineage, observability, security, and compliance controls; optimizes large-scale workloads; and drives technical standards, cross-functional delivery, mentoring, and strategic roadmap planning.

Lead the design and evolution of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architect cloud-based ETL and ELT solutions using Databricks, Spark, Delta Lake, and related technologies. Establish data quality, governance, lineage, observability, security, and compliance controls. Drive modernization, performance optimization, technical standards, cross-functional delivery, architectural decisions, mentoring, talent assessment, and strategic roadmap planning.

Designs and supports cloud-native infrastructure, automation, landing zones, networking, and security infrastructure for AWS regions. Builds infrastructure-as-code modules, CI/CD tools, developer platforms, and migration tooling. Maintains highly available production and nonproduction environments, promotes DevOps practices and code quality, and mentors developers on infrastructure tooling and support systems.

Design scalable, highly available applications and infrastructure using MongoDB; advise customers on architecture, optimization, and business value; partner with sales teams on discovery, demos, proof of value, presentations, sizing, and deal execution; generate demand through technical initiatives and events; build customer champions; mentor colleagues; and maintain expertise in MongoDB, cloud, distributed systems, AI, and modern architecture patterns.

Lead design, develop, and deploy Java-based microservices for a high-traffic B2B payments platform. Apply 12-factor principles, cloud (AWS/Azure), CI/CD, containerization, and performance optimization. Collaborate with product, TPMs, and QA, perform code reviews, and ensure security and architecture compliance.

Lead design, develop, and deploy high-quality Java microservices following 12-factor principles. Collaborate with product, TPMs and test engineers across the SDLC, perform code reviews, support CI/CD, containerization, optimize performance and ensure compliance with security and architecture standards.

Lead design, develop, and deploy high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Participate across the SDLC, perform code reviews, optimize performance, and collaborate with product, TPMs, and test engineers while ensuring security and enterprise standards.

Lead design, develop, and deploy scalable Java microservices for a global B2B payments platform. Collaborate with product, TPMs, and QA across the lifecycle, apply 12-factor and cloud-native principles, optimize performance and reliability, perform code reviews, and drive engineering best practices and compliance.

Lead design, development, and deployment of scalable Java microservices for a high-traffic B2B payments platform. Apply 12-factor principles, CI/CD, containers, cloud (AWS/Azure), and automated testing. Collaborate with product, TPMs, and QA; perform code reviews; ensure performance, security, and adherence to enterprise standards.

Lead pre-sales architecture for MongoDB Atlas and specialize in application search, including lexical and semantic search. Advise customers on scalable systems, conduct technical discovery, demos, proofs of value, presentations, sizing, and documentation, and support complex enterprise deal cycles. Enable other solution architects, mentor colleagues, relay customer feedback to Product Management, and influence Vector Search and AI/ML direction. The role is remote in Barcelona, Dublin, or London and requires approximately 25% travel.

Develops and scales enterprise AI solutions, including LLMs, conversational AI, generative AI, and agentic systems. Responsibilities include model development, deployment, monitoring, MLOps, API integration, testing, prompt engineering, architecture, and performance optimization. The role collaborates with business and technical stakeholders, delivers proofs of concept, translates business requirements into scalable solutions, and ensures compliance with security, regulatory, quality, and ethical AI standards.

Leads 2K’s global data engineering strategy, telemetry architecture, cloud infrastructure efficiency, ML Ops enablement, and proactive modeling capabilities. Oversees high-scale distributed data systems, streaming telemetry, feature pipelines, FinOps, and operational excellence. Builds partnerships across studios and executive teams while hiring, mentoring, and developing a world-class engineering organization.

Build and own event-driven microservices for M-KOPA Mobility’s electric-mobility financing platform. Responsibilities include designing C#/.NET backend solutions, managing production systems, applying DevOps and infrastructure-as-code practices, implementing automated testing and continuous delivery, and using observability tools such as Prometheus and Grafana. The role involves collaborating across global teams, contributing to architecture decisions, monitoring services, and leveraging AI coding tools such as Claude Code.

Lead cloud security strategy for Data and AI/ML services on GCP. Assess technology controls and risks, advise teams on secure cloud architectures, review infrastructure-as-code, maintain security documentation, and collaborate with security operations, threat intelligence, IAM, and network security teams. The role also supports agile security initiatives, mentors junior engineers, and promotes secure and compliant public-cloud implementations.

Build and maintain full-stack web products across frontend, backend, databases, DevOps, analytics, and third-party integrations. The engineer will implement features, fix bugs, improve infrastructure, monitoring, deployments, testing, and developer experience, and participate in on-call support. The role requires collaboration with product teams, proactive technical ownership, reliable production code, analytics-informed iteration, and fluency with AI coding tools. Senior candidates may additionally own architecture, technical strategy, and major projects.

Advise city governments across the Americas on designing, prototyping, and launching digital services. Guide system and data architecture, DevOps, infrastructure, AI and machine learning decisions, rapid prototyping, and end-to-end product delivery. Work hands-on with multidisciplinary teams while coaching clients and influencing technical decisions without direct authority. The role requires senior technical leadership, strong communication, and professional English plus Spanish and/or Portuguese.

Designs scalable enterprise AI agents and agentic workflows, develops reusable architecture standards and governance frameworks, and translates business requirements into secure AI solutions. The role evaluates emerging AI platforms, supports testing and quality assurance, integrates data and enterprise systems, and collaborates with architects, engineers, security teams, and business stakeholders to deliver maintainable, compliant solutions.